European University Institute Library

R for Microsoft Excel users, making the transition for statistical analysis, Conrad Carlberg

eng

illustrations

index present

non fiction

R for Microsoft Excel users

951926840

Conrad Carlberg

making the transition for statistical analysis

Microsoft Excel can perform many statistical analyses, but thousands of business users and analysts are now reaching its limits. R, in contrast, can perform virtually any imaginable analysis--if you can get over its learning curve. In R for Microsoft® Excel Users, Conrad Carlberg shows exactly how to get the most from both programs. Drawing on his immense experience helping organizations apply statistical methods, Carlberg reviews how to perform key tasks in Excel, and then guides you through reaching the same outcome in R--including which packages to install and how to access them. Carlberg offers expert advice on when and how to use Excel, when and how to use R instead, and the strengths and weaknesses of each tool. Writing in clear, understandable English, Carlberg combines essential statistical theory with hands-on examples reflecting real-world challenges. By the time you've finished, you'll be comfortable using R to solve a wide spectrum of problems--including many you just couldn't handle with Excel.--, Provided by Publisher

Introduction -- Making the transition -- Descriptive statistics -- Regression analysis in Excel and R -- Analysis of variance and covariance in Excel and R -- Logistic regression in Excel and R -- Principal components analysis

Making the transition for statistical analysis